Instructions to use karths/binary_classification_train_documentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_documentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_documentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_documentation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_documentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": { | |
| "ci_lower": 0.8951583031009241, | |
| "ci_upper": 1.004710913747162 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.9023015181345099, | |
| "ci_upper": 1.0068283950859735 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.8987228019749145, | |
| "ci_upper": 1.0057626957098553 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.9601944289706985, | |
| "ci_upper": 1.008107467261151 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.8984343763030347, | |
| "ci_upper": 1.0058135285203569 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.7968938775887061, | |
| "ci_upper": 1.0116288954111354 | |
| } | |
| } |